In this report, we organize and reflect on recent advances and challenges in the field of
sports data visualization. The exponentially‐growing body of visualization research based …

We are currently witnessing an unprecedented era of digital transformation in sports, driven
by the revolutions in Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR) …

We present ShuttleSpace, an immersive analytics system to assist experts in analyzing
trajectory data in badminton. Trajectories in sports, such as the movement of players and …

Competitive sports data visualization is an increasingly important research direction in the
field of information visualization. It is also an important basis for studying human behavioral …

We present iBall, a basketball video-watching system that leverages gaze-moderated
embedded visualizations to facilitate game understanding and engagement of casual fans …

In table tennis, tactics specified by three consecutive strokes represent the high-level
competition strategies in matches. Effective detection and analysis of tactics can reveal the …

Event sequence mining is often used to summarize patterns from hundreds of sequences
but faces special challenges when handling racket sports data. In racket sports (eg, tennis …

Simulative analysis in competitive sports can provide prospective insights, which can help
improve the performance of players in future matches. However, adequately simulating the …

The rapid development of information technology paved the way for the recording of fine-
grained data, such as stroke techniques and stroke placements, during a table tennis match …

In a basketball play, players who are not in possession of the ball (ie, off-ball players) can
still effectively contribute to the team's offense, such as making a sudden move to create …